Reliability and Security of Deep Neural Networks ¶
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$\color{blue}{\text{Masoud Daneshtalab:}}$ Professor at Mälardalen University and TalTech¶
$\color{blue}{\text{Seyedhamidreza Mousavi:}}$ PhD student at Malardalan University¶
$\color{blue}{\text{Mohammad Hassan Ahmadilivani (Mojtaba):}}$ PhD student at TalTech University¶
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$\color{blue}{\text{Email:}}$ masoud.daneshtalab@mdu.se, seyedhamidreza.mousavi@mdu.se, mohammad.ahmadilivani@taltech.ee¶
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Reliability and security threats to machine learning-based systems¶

We are going to focus on two threats:
- Reliability issues (Hardware Faults) RReLU Framework
- Adversarial input perturbation ProARD Framework
First Part: Reliable ReLU Toolbox (RReLU) To Enhance Resilience of DNNs¶
What is a Deep Neural Network?¶
The application of DNNs: Object Detection¶

What is the Soft-errors problem?¶


❓ What is the issue with ReLU?¶









